Personalized learning through Filtered.com technology

Now it’s Personal

What is Personalized Learning?

We employ smart technology from Filtered.com to personalize the learning journey across our Microsoft and Business suites. We won’t teach you absolutely everything, just what you need to learn. We do this by stripping out what you know, and what isn’t useful to you, using Filtered’s US patent pending algorithm.

What is Personalized Learning?

We employ smart technology from Filtered.com to personalize the learning journey across our Microsoft and Business suites. We won’t teach you absolutely everything, just what you need to learn. We do this by stripping out what you know, and what isn’t useful to you, using Filtered’s US patent pending algorithm.

Why is it Important?

Your time is valuable, we don’t want you wasting it learning things you already know, or things not relevant to you. Personalized training ensures more valuable skills are covered, takes less time to complete and delivers more value. Leaving you more time to do the things you love.

The Facts

The filter takes less than 10 minutes and can save hours – on average we reduce our learners’ training workload by a third, saving hours for each learner.

Our courses are therefore shorter, more relevant and more impactful. Learners using a filter show 26% more improvement than those who don’t.

The Filter gives a baseline score (works like an IQ), which you can demonstrate progress against.

The Filtered approach and technology is patent-pending and award-winning.

Why is it Important?

Your time is valuable, we don’t want you wasting it learning things you already know, or things not relevant to you. Personalized training ensures more valuable skills are covered, takes less time to complete and delivers more value. Leaving you more time to do the things you love.

The Stats

On average we reduce our learners’ training workload by 20-50% – across thousands of users, that’s millions of hours saved.

A study of 3000 users measured 26% greater improvement when the course was filtered.

How it Works

Whether we realise or not, algorithms are now a part of daily life. Quietly making our experiences more personalized. So why not use them to make your learning more appropriate?

In the same way Amazon uses purchasing patterns of their users to recommend complementary products, we use feedback from our learners to identify which modules in a course are likely to be most useful to you.